Research on MPPT control strategy for photovoltaic power generation based on improved incremental conductance method
DOI:
https://doi.org/10.4108/ew.11943Keywords:
photovoltaic power generation, MPPT, fuzzy control, incremental conductance method, variable step sizeAbstract
INTRODUCTION: Maximum power point tracking (MPPT) is an important strategy for optimizing the power output of photovoltaic arrays.
OBJECTIVES: The primary objective of this study is to develop an enhanced MPPT control method to address the inherent limitations of long tracking time and low tracking accuracy in the traditional conductance incremental method for MPPT.
METHODS: An improved incremental conductance method is proposed, which introduces the fuzzy control algorithm to the incremental conductance method to dynamically adjusts the perturbation step size.
RESULTS: The simulation results show that the improved method proposed shortens the MPPT time and improves the MPPT accuracy under start-up and sudden change operating condition comparing with other incremental conductance method.
CONCLUSION: This study provides an effective and reference-worthy control method for further improving the efficiency of photovoltaic power generation.
Downloads
References
[1] He J, Li Z, Zhang X, et al. Towards carbon neutrality: A study on China's long-term low-carbon transition pathways and strategies. Environmental Science & Ecotechnology. 2022; (01):2-10.
[2] Guan T. Research on the Strategy of Road Transport Economic Development in Low Carbon Environment. Economic Outlook the Bohai Sea. 2022; 331(04):37-39.
[3] Dumbrell N P, Wheeler S A, Zuo A, et al. Public willingness to make trade-offs in the development of a hydrogen industry in Australia. Energy Policy. 2022; 165. DOI: 10.1016/j.enpol.2022.112987.
[4] Zheng R. Experimental Study on the Design and Comprehensive Utilization of Solar Thermal Power Generation Units Based on ORC. Tianjin: Tianjin University; 2017.
[5] Soto W D, Klein S A, Beckman W A. Improvement and validation of a model for photovoltaic array performance. Solar Energy. 2006; 80(1):78-88. DOI:10.1016/j.solener.2005.06.010.
[6] Hua C, Shen C. Study of maximum power tracking techniques and control of DC/DC converters for photovoltaic power system. IEEE Power Electronics Specialists Conference.IEEE. 1998.DOI:10.1109/PESC.1998.701883.
[7] Esram T, Chapman P L. Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques. IEEE Transactions on Energy Conversion. 2007; 22(2): 439-449.DOI:10.1109/TEC.2006.874230.
[8] Reck H, Eltamaly A M. A comprehensive comparison of different MPPT techniques for photovoltaic systems. Solar Energy. 2015; 112:1-11. DOI:10.1016/j.solener.2014.11.010.
[9] Li P, Zhang J, Xu R, et al. Integration of MPPT algorithms with spacecraft applications: Review, classification and future development outlook. Energy. 2024;308132927.
[10] Hussein K H, Muta I, Hoshino T,et al. Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. Generation, Transmission and Distribution, IEE Proceedings-. 1995; 142(1):59-64. DOI:10.1049/ip-gtd:19951577.
[11] Sarvi M, Azadian A. A comprehensive review and classified comparison of MPPT algorithms in PV systems. Energy Systems. 2021;13(2):1-40.
[12] Sabir M, Harrag, Abdelhamid L. A New Variable Step Size Neural Networks MPPT Controller: Review, Simulation and Hardware Implementation. Renewable and Sustainable Energy Reviews. 2016; 68:221-233. DOI:10.1016/j.rser.2016.09.131.
[13] Villalva M G, Gazoli J R, Filho E R. Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays. IEEE Transactions on Power Electronics. 2009; 24(5):1198-1208. DOI:10.1109/TPEL.2009.2013862..
[14] Villalva M G, Gazoli J R, Filho E R. Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays.IEEE Transactions on Power Electronics. 2009; 24(5):1198-1208. DOI:10.1109/TPEL.2009.2013862.
[15] Shi J, Zhang B, Cai J. Study on modern photovoltaic agricultural control strategy based on variable step size maximum power tracking method. Jiangsu Agricultural Science. 2018;46(24):274-277.
[16] Esram T, Chapman P L.Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques. IEEE Transactions on Energy Conversion. 2007; 22(2):439-449. DOI:10.1109/TEC.2006.874230.
[17] Subudhi B, Pradhan R.A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems. IEEE Transactions on Sustainable Energy. 2013. DOI:10.1109/TSTE.2012.2202294..
[18] Femia N, Petrone G, Spagnuolo G, et al. Optimization of perturb and observe maximum power point tracking method. IEEE Transactions on Power Electronics. 2005; 20(4):963-973. DOI:10.1109/TPEL.2005.850975.
[19] Chen Y, Zhang C, Guo X. Application of new variable step-size perturbation and observation method in PV power generation system. Modern Electronic Technology. 2022;45(17):141-144.
[20] Killi M, Samanta S. Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems. IEEE Transactions on Industrial Electronics. 2015; 62(9):5549-5559. DOI:10.1109/TIE.2015.2407854.
[21] Gao J. Research on Maximum Power Point Tracking Control Algorithm of Photovoltaic Power System under Different Illumination. Xi‘an: Chang’an University; 2022.
[22] Liu F, Duan S, Liu B, et al. A Variable Step Size INC MPPT Method for PV Systems. IEEE Transactions on Industrial Electronics. 2008; 55(7):2622-2628. DOI:10.1109/TIE.2008.920550.
[23] Wang Q, Xu H, Zhang Q, et al. Research of improved MPPT Based on Variable Step Incremental Conductance Method. Electrical & Energy Management Technology. 2017;534(21):10-15+47.
[24] Liu F, Duan S, Liu B, et al. A Variable Step Size INC MPPT Method for PV Systems. IEEE Transactions on Industrial Electronics. 2008; 55(7):2622-2628. DOI:10.1109/TIE.2008.920550.
[25] Sabir M, Harrag, Abdelhamid L. A New Variable Step Size Neural Networks MPPT Controller: Review, Simulation and Hardware Implementation. Renewable and Sustainable Energy Reviews. 2016; 68:221-233. DOI:10.1016/j.rser.2016.09.131.
[26] Lee C.Fuzzy logic in control systems: Fuzzy logic controller - Part i. Ieee transactions on systems. 2009.
[27] Guo C, Tang Y, Lin S. Fuzzy control based variable step conductance increment method for maximum power point tracking strategy. Modern Electronic Technique. 2022;45(19):145-151.
[28] Li H X, Gatland H B. Conventional fuzzy control and its enhancement. IEEE Transactions on Systems Man & Cybernetics Part B Cybernetics A Publication of the IEEE Systems Man & Cybernetics Society. 1996; 26(5):791-7. DOI:10.1109/3477.537321.
[29] Passino, K. M. Bridging the gap between conventional and intelligent control. Control Systems, IEEE. 1993. DOI:10.1109/37.214940.
[30] Sera D, Mathe L, Kerekes T, et al. On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems. IEEE Journal of Photovoltaics. 2013; 3(3):1070-1078. DOI:10.1109/JPHOTOV.2013.2261118.
[31] Abdolrasol M G M, Tiong K S, Ker J P, et al. Fuzzy controller-driven pattern search optimization for a DC–DC boost converter to enhance photovoltaic MPPT performance. Scientific Reports. 2025;15(1):32376.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Changzheng Zhou, Wei An, Xiaoliang Zhu, Jun Li, Longwei Jiao
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 4.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.
